Pca

Pca (Principal Component Analysis) is a fundamental statistical technique for Dimensionality Reduction. It transforms complex data into a simplified set of Principal Components, revealing underlying structure and variance. This method is widely used to simplify high-dimensional data without losing essential information.

See also

• Data Analysis
• Feature Extraction
• Multivariate Analysis
• Statistical Learning